Onix Wingspan Icon

Empowering BFSI with AI agents and synthetic data

How Onix’s Kingfisher tool can address data challenges in the Banking, Financial Services, and Insurance industry

onix polygon
Yellow polygon

Why synthetic data is a prerequisite for AI agents in BFSI

It’s 2025, and AI is no longer a nascent technology. In a recent survey, nearly 70% of financial services executives said they expect it to directly drive revenue growth in the coming years. What was once experimental is now becoming central to banking operations, helping institutions refine processes, improve customer interactions, and open up new avenues for growth. However, there remain serious concerns about the use of “sensitive” data and privacy issues. Synthetic data is the ideal alternative that can capture the statistical properties of real data – without using it to train AI agents.

Yellow polygon
BFSI Side image

This eBook highlights how synthetic data can overcome industry-specific challenges in BFSI. It also provides a detailed analysis of how Onix’s Kingfisher can deliver enterprise-level synthetic data for specific use cases in the BFSI domain.

What you’ll learn in this eBook:

  • Core Factors: that are driving the surge of AI agents in the financial sector.
  • Common challenges: that are hindering the deployment of AI agents in BFSI.
  • Use cases of synthetic data: in core financial applications.
  • The role of CTOs and CIOs: in accelerating the rise of synthetic data.
Mobilizing Data for an AI World Thank page 3